Titlebook: Mathematical Optimization Theory and Operations Research; 20th International C Panos Pardalos,Michael Khachay,Alexander Kazakov Conference

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0302-9743 R 2021, held in Irkutsk, Russia, in July 2021. .The 29 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 102 submissions. Additionally, 2 full invited papers are presented in the volume. The papers are grouped in the following topical sections: ​combina

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On Asymptotically Optimal Approach for the Problem of Finding Several Edge-Disjoint Spanning Trees o undirected graphs turned out to be impossible due to the issues associated with the summation of dependent random variables. In this work we give an .-time algorithm with conditions of asymptotic optimality for the case of undirected graphs.

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On Some Variants of the Merging Variables Based (1+1)-Evolutionary Algorithm with Application to Maxer worst case estimation than the original (1+1)-EA. In the experimental part we conduct comparison of the proposed strategy with several known variants of (1+1)-EA and demonstrate its practical applicability for a number of hard instances of MaxSAT problem.

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Conference proceedings 2021issions. Additionally, 2 full invited papers are presented in the volume. The papers are grouped in the following topical sections: ​combinatorial optimization; mathematical programming; bilevel optimization; scheduling problems; game theory and optimal control; operational research and mathematical economics; data analysis..

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Conference proceedings 2021ld in Irkutsk, Russia, in July 2021. .The 29 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 102 submissions. Additionally, 2 full invited papers are presented in the volume. The papers are grouped in the following topical sections: ​combinatorial opt

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A Column Generation Based Heuristic for a Temporal Bin Packing Problemo get lower and upper bounds. Preliminary computational experiments for real test instances indicate a small gap between the bounds. The average relative error is at most 0.88% for one week planning horizon and about 50000 items. The average running time is 21 s for a personal computer.

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On the Computational Efficiency of Catalyst Accelerated Coordinate Descentension . in . times and, in practice, demonstrates a faster convergence in comparison with standard methods. As an example of applying the proposed approach, it was shown a variant of obtaining on its basis some efficient methods for optimizing Markov Decision Processes (MDP) in a minimax formulation with a Nesterov smoothed target function.

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